A machine learning workshop was held on 17 December 2025 at HUN-REN SZTAKI, jointly organized by Singapore’s Nanyang Technological University (NTU) and the HUN-REN Hungarian Research Network. The scientific program focused on shared research interests of the two institutions, with particular emphasis on contemporary learning theory, dynamical systems, and statistical methods.

The workshop was opened by András Benczúr, Head of the Artificial Intelligence Laboratory at HUN-REN SZTAKI and Director of the Artificial Intelligence National Laboratory (MILAB) coordinated by HUN-REN SZTAKI.

Presentations covered a wide range of topics, including stochastic state-space models, kernel methods, learning of Hamiltonian systems, realization theory, generalization bounds for deep structures, and Markov Chain Monte Carlo methods. The afternoon session also addressed digital twins and structural health monitoring.

The event aimed to strengthen international scientific collaboration and to provide a forum for discussing current research directions in machine learning, bringing together Hungarian and international researchers. The detailed program is available here .